Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:08:39.532804
Analysis finished2020-08-25 00:09:39.425276
Duration59.89 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz5 is highly correlated with oz3High correlation
oz3 is highly correlated with oz5High correlation
oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.899898052215576e-09
Minimum-1.7847648859024048
Maximum1.7246578931808472
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:39.471898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.784764886
5-th percentile-1.593725431
Q1-0.8862332702
median0.01529176813
Q30.8289752305
95-th percentile1.545985353
Maximum1.724657893
Range3.509422779
Interquartile range (IQR)1.715208501

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-526344032.1
Kurtosis-1.165759847
Mean-1.899898052e-09
Median Absolute Deviation (MAD)0.8452039361
Skewness-0.04361699037
Sum-9.499490261e-07
Variance1.000000003
2020-08-25T00:09:39.576482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.33983731310.2%
 
-0.893866658210.2%
 
0.824509382210.2%
 
0.339325785610.2%
 
-1.0357426410.2%
 
0.491900831510.2%
 
1.66241478910.2%
 
-1.45567154910.2%
 
-0.0247896872510.2%
 
1.34825670710.2%
 
-1.72325766110.2%
 
1.65490245810.2%
 
1.44591796410.2%
 
0.754210650910.2%
 
0.276520311810.2%
 
-0.439181894110.2%
 
1.52804076710.2%
 
1.03730666610.2%
 
0.656675636810.2%
 
0.559890747110.2%
 
-0.969403684110.2%
 
-1.37696325810.2%
 
0.426924228710.2%
 
-1.08660626410.2%
 
-0.211265772610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.78476488610.2%
 
-1.77688038310.2%
 
-1.75547444810.2%
 
-1.75442898310.2%
 
-1.7457921510.2%
 
-1.73914933210.2%
 
-1.72325766110.2%
 
-1.72275757810.2%
 
-1.70452725910.2%
 
-1.70192372810.2%
 
ValueCountFrequency (%) 
1.72465789310.2%
 
1.72384631610.2%
 
1.71393954810.2%
 
1.71302473510.2%
 
1.69975709910.2%
 
1.69553530210.2%
 
1.68672144410.2%
 
1.68042695510.2%
 
1.6766753210.2%
 
1.66376388110.2%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1837109923362731e-09
Minimum-1.7167117595672607
Maximum1.68876314163208
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:39.695802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.71671176
5-th percentile-1.581351972
Q1-0.8500774056
median-0.05476147123
Q30.8850915134
95-th percentile1.561886269
Maximum1.688763142
Range3.405474901
Interquartile range (IQR)1.735168919

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)-844800804.7
Kurtosis-1.248201351
Mean-1.183710992e-09
Median Absolute Deviation (MAD)0.8696216941
Skewness0.03395655582
Sum-5.918554962e-07
Variance0.9999999977
2020-08-25T00:09:39.800328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.517474293710.2%
 
1.53330230710.2%
 
-0.636368155510.2%
 
-0.77754110110.2%
 
0.49789491310.2%
 
-0.0198154170110.2%
 
-0.833782434510.2%
 
1.20766484710.2%
 
1.50456917310.2%
 
1.0690023910.2%
 
0.180802643310.2%
 
-1.18033230310.2%
 
0.424479365310.2%
 
1.53190636610.2%
 
0.271649360710.2%
 
-1.1877939710.2%
 
1.51244807210.2%
 
-1.37628543410.2%
 
-1.279968510.2%
 
-0.354661196510.2%
 
-1.20966243710.2%
 
-0.948584616210.2%
 
0.808938384110.2%
 
1.21358215810.2%
 
-0.734722137510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7167117610.2%
 
-1.71593892610.2%
 
-1.70869839210.2%
 
-1.70537674410.2%
 
-1.69751250710.2%
 
-1.68962204510.2%
 
-1.68349313710.2%
 
-1.68073689910.2%
 
-1.66819977810.2%
 
-1.66723275210.2%
 
ValueCountFrequency (%) 
1.68876314210.2%
 
1.68103921410.2%
 
1.68005025410.2%
 
1.65968251210.2%
 
1.65906679610.2%
 
1.65410029910.2%
 
1.65409684210.2%
 
1.65402650810.2%
 
1.65371048510.2%
 
1.65030276810.2%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.171183646903501e-11
Minimum-2.4275991916656494
Maximum2.27419376373291
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:39.917930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.427599192
5-th percentile-1.618389368
Q1-0.800604552
median-0.03291998524
Q30.7379234433
95-th percentile1.644423717
Maximum2.274193764
Range4.701792955
Interquartile range (IQR)1.538527995

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1.394469936e+10
Kurtosis-0.7036430124
Mean7.171183647e-11
Median Absolute Deviation (MAD)0.7696173964
Skewness0.06987346309
Sum3.585591823e-08
Variance1.000000001
2020-08-25T00:09:40.019864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.209472462510.2%
 
0.466951429810.2%
 
0.506547212610.2%
 
0.223509624610.2%
 
0.983691036710.2%
 
-1.28574335610.2%
 
2.20820975310.2%
 
-0.267166167510.2%
 
-0.604218661810.2%
 
-0.0377406328910.2%
 
-0.271871745610.2%
 
0.330229401610.2%
 
0.114148512510.2%
 
-0.286218315410.2%
 
0.0968040600410.2%
 
-0.91046726710.2%
 
-0.701665401510.2%
 
0.362005174210.2%
 
0.348771065510.2%
 
0.346351683110.2%
 
0.298502117410.2%
 
1.07987785310.2%
 
1.62956714610.2%
 
0.800235748310.2%
 
0.411300033310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.42759919210.2%
 
-2.23836803410.2%
 
-2.21295452110.2%
 
-2.14412951510.2%
 
-2.02782821710.2%
 
-1.97034800110.2%
 
-1.85321927110.2%
 
-1.82838714110.2%
 
-1.82564258610.2%
 
-1.81236636610.2%
 
ValueCountFrequency (%) 
2.27419376410.2%
 
2.21305465710.2%
 
2.20820975310.2%
 
2.19212913510.2%
 
2.11289501210.2%
 
2.09713411310.2%
 
2.08667230610.2%
 
2.06861662910.2%
 
2.00976824810.2%
 
1.94451296310.2%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3353065848350527e-10
Minimum-1.658389687538147
Maximum1.6803942918777466
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:40.131429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.658389688
5-th percentile-1.566241795
Q1-0.9349864572
median0.1008313484
Q30.8743208051
95-th percentile1.523959118
Maximum1.680394292
Range3.338783979
Interquartile range (IQR)1.809307262

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)2306641938
Kurtosis-1.268791293
Mean4.335306585e-10
Median Absolute Deviation (MAD)0.914357543
Skewness-0.05246245183
Sum2.167653292e-07
Variance0.9999999962
2020-08-25T00:09:40.239574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.19734704510.2%
 
-0.934902548810.2%
 
-1.46617364910.2%
 
-0.94464719310.2%
 
0.381993144810.2%
 
-1.00453674810.2%
 
1.2356957210.2%
 
-1.61391794710.2%
 
1.62380647710.2%
 
-0.706861376810.2%
 
0.102553948810.2%
 
1.54948282210.2%
 
-1.1217495210.2%
 
-0.666345298310.2%
 
-1.17447924610.2%
 
1.63738369910.2%
 
-1.49290895510.2%
 
1.58660674110.2%
 
1.3170832410.2%
 
0.155603155510.2%
 
0.253100514410.2%
 
0.491871148310.2%
 
-1.2409347310.2%
 
0.218594059310.2%
 
1.68039429210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65838968810.2%
 
-1.65577042110.2%
 
-1.65400946110.2%
 
-1.65211260310.2%
 
-1.64409112910.2%
 
-1.62842774410.2%
 
-1.62543475610.2%
 
-1.6252411610.2%
 
-1.62426793610.2%
 
-1.62366056410.2%
 
ValueCountFrequency (%) 
1.68039429210.2%
 
1.67875623710.2%
 
1.67405438410.2%
 
1.66703760610.2%
 
1.66631054910.2%
 
1.66571724410.2%
 
1.65574097610.2%
 
1.63738369910.2%
 
1.62380647710.2%
 
1.60661315910.2%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.9793591238558294e-09
Minimum-1.7443282604217532
Maximum1.7319539785385132
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:40.357564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.74432826
5-th percentile-1.522079152
Q1-0.8849765658
median-0.04270864464
Q30.8097688407
95-th percentile1.549328935
Maximum1.731953979
Range3.476282239
Interquartile range (IQR)1.694745407

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)-335642654
Kurtosis-1.183609061
Mean-2.979359124e-09
Median Absolute Deviation (MAD)0.8514024019
Skewness0.02008666697
Sum-1.489679562e-06
Variance1.000000007
2020-08-25T00:09:40.463085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.49218738110.2%
 
-0.0564787872110.2%
 
1.62367415410.2%
 
-0.372227668810.2%
 
0.583323597910.2%
 
-0.640944182910.2%
 
-0.294594734910.2%
 
1.5494786510.2%
 
-0.330241262910.2%
 
-1.19394028210.2%
 
-1.64909648910.2%
 
1.46159839610.2%
 
-0.718109667310.2%
 
-0.301982015410.2%
 
0.435175865910.2%
 
0.0270187649910.2%
 
0.0664521977310.2%
 
-0.916360616710.2%
 
-0.956079840710.2%
 
-0.25072908410.2%
 
1.48898661110.2%
 
1.25558042510.2%
 
-1.02414774910.2%
 
-0.447444319710.2%
 
-0.905630290510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7443282610.2%
 
-1.73809862110.2%
 
-1.73356938410.2%
 
-1.73257374810.2%
 
-1.72961115810.2%
 
-1.7282797110.2%
 
-1.71453344810.2%
 
-1.69690716310.2%
 
-1.68024647210.2%
 
-1.66641056510.2%
 
ValueCountFrequency (%) 
1.73195397910.2%
 
1.73025524610.2%
 
1.7291042810.2%
 
1.72619152110.2%
 
1.71317255510.2%
 
1.7044804110.2%
 
1.68944144210.2%
 
1.66947674810.2%
 
1.65083074610.2%
 
1.64679288910.2%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.04920831695199e-10
Minimum-1.6788473129272459
Maximum1.6639231443405151
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:40.582178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.678847313
5-th percentile-1.534942782
Q1-0.8846299797
median-0.03496534564
Q30.8816388249
95-th percentile1.513182527
Maximum1.663923144
Range3.342770457
Interquartile range (IQR)1.766268805

Descriptive statistics

Standard deviation1.000000006
Coefficient of variation (CV)3279539809
Kurtosis-1.245072275
Mean3.049208317e-10
Median Absolute Deviation (MAD)0.896754235
Skewness-0.009753752423
Sum1.524604158e-07
Variance1.000000012
2020-08-25T00:09:40.686524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.98340016610.2%
 
0.718120336510.2%
 
-0.350296080110.2%
 
-0.6936857710.2%
 
0.986247599110.2%
 
0.683174967810.2%
 
-1.03387594210.2%
 
0.348484277710.2%
 
-0.912449300310.2%
 
1.31389391410.2%
 
-0.733641982110.2%
 
0.621436476710.2%
 
0.709327936210.2%
 
-1.15498566610.2%
 
1.51241052210.2%
 
-1.12234675910.2%
 
1.28201818510.2%
 
1.36007404310.2%
 
-0.935897529110.2%
 
-1.02031683910.2%
 
-0.310206949710.2%
 
0.423161268210.2%
 
-0.0821449011610.2%
 
1.65892863310.2%
 
1.41869771510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67884731310.2%
 
-1.67560493910.2%
 
-1.66883170610.2%
 
-1.66384458510.2%
 
-1.6636478910.2%
 
-1.66237616510.2%
 
-1.65807783610.2%
 
-1.6488852510.2%
 
-1.64488923510.2%
 
-1.63832700310.2%
 
ValueCountFrequency (%) 
1.66392314410.2%
 
1.65966522710.2%
 
1.65892863310.2%
 
1.65729951910.2%
 
1.65229630510.2%
 
1.64569473310.2%
 
1.63390946410.2%
 
1.62137234210.2%
 
1.62045216610.2%
 
1.61717987110.2%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0891817510128021e-09
Minimum-1.7623406648635864
Maximum1.7126469612121582
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:40.810328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.762340665
5-th percentile-1.549528998
Q1-0.8725460321
median-0.0004861395573
Q30.8715869486
95-th percentile1.573932785
Maximum1.712646961
Range3.474987626
Interquartile range (IQR)1.744132981

Descriptive statistics

Standard deviation0.9999999995
Coefficient of variation (CV)918120413.4
Kurtosis-1.197153703
Mean1.089181751e-09
Median Absolute Deviation (MAD)0.8731008213
Skewness-0.02237665315
Sum5.445908755e-07
Variance0.999999999
2020-08-25T00:09:40.914989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.36913883710.2%
 
0.734704256110.2%
 
-1.76234066510.2%
 
0.268711388110.2%
 
1.11464595810.2%
 
0.491857141310.2%
 
1.27348566110.2%
 
-1.45962321810.2%
 
1.32220995410.2%
 
1.24087655510.2%
 
1.02017867610.2%
 
1.24432170410.2%
 
0.949544370210.2%
 
1.25456225910.2%
 
-0.738609731210.2%
 
1.44988036210.2%
 
0.741566181210.2%
 
-1.49138164510.2%
 
1.02276873610.2%
 
0.392733663310.2%
 
0.12449675810.2%
 
-1.53583836610.2%
 
-1.48310792410.2%
 
0.823587179210.2%
 
0.886088550110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.76234066510.2%
 
-1.75476348410.2%
 
-1.75006902210.2%
 
-1.74411964410.2%
 
-1.74355745310.2%
 
-1.73965477910.2%
 
-1.73734784110.2%
 
-1.73364305510.2%
 
-1.72493481610.2%
 
-1.71177434910.2%
 
ValueCountFrequency (%) 
1.71264696110.2%
 
1.7110656510.2%
 
1.70893216110.2%
 
1.70479023510.2%
 
1.70026874510.2%
 
1.69490075110.2%
 
1.68974208810.2%
 
1.68937623510.2%
 
1.68444454710.2%
 
1.67377269310.2%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.523178070783615e-09
Minimum-1.7785364389419556
Maximum1.770408034324646
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:41.031794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.778536439
5-th percentile-1.595959753
Q1-0.8361074179
median0.01085394202
Q30.8632832319
95-th percentile1.593190527
Maximum1.770408034
Range3.548944473
Interquartile range (IQR)1.69939065

Descriptive statistics

Standard deviation0.9999999982
Coefficient of variation (CV)656522055.7
Kurtosis-1.139598415
Mean1.523178071e-09
Median Absolute Deviation (MAD)0.8522783816
Skewness-0.007511373996
Sum7.615890354e-07
Variance0.9999999964
2020-08-25T00:09:41.136859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.46235978610.2%
 
-0.123089380610.2%
 
1.66468048110.2%
 
-1.1725006110.2%
 
-0.693674683610.2%
 
1.67055499610.2%
 
0.725386798410.2%
 
-0.133866518710.2%
 
-0.290686756410.2%
 
0.96472841510.2%
 
1.59283173110.2%
 
-1.22526156910.2%
 
0.380536228410.2%
 
-0.943689882810.2%
 
0.852877795710.2%
 
-1.06513524110.2%
 
0.382020413910.2%
 
-1.50361049210.2%
 
0.923193931610.2%
 
0.140081137410.2%
 
1.64327502310.2%
 
-1.41547381910.2%
 
0.1951557110.2%
 
1.43234312510.2%
 
-1.03977143810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.77853643910.2%
 
-1.77775919410.2%
 
-1.75926911810.2%
 
-1.7570420510.2%
 
-1.75575387510.2%
 
-1.74758160110.2%
 
-1.74657106410.2%
 
-1.73215234310.2%
 
-1.72549712710.2%
 
-1.7185374510.2%
 
ValueCountFrequency (%) 
1.77040803410.2%
 
1.76208245810.2%
 
1.76176357310.2%
 
1.75475156310.2%
 
1.74697065410.2%
 
1.74659180610.2%
 
1.73957312110.2%
 
1.71672594510.2%
 
1.70416867710.2%
 
1.69022655510.2%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.633329786507545e-10
Minimum-1.73028564453125
Maximum1.6836603879928589
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:41.254934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.730285645
5-th percentile-1.568571556
Q1-0.8322712332
median-0.008051238954
Q30.9059587568
95-th percentile1.544484019
Maximum1.683660388
Range3.413946033
Interquartile range (IQR)1.73822999

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-2158275035
Kurtosis-1.18078296
Mean-4.633329787e-10
Median Absolute Deviation (MAD)0.843678236
Skewness-0.01251163518
Sum-2.316664893e-07
Variance1.000000001
2020-08-25T00:09:41.361065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.56940710510.2%
 
0.135089963710.2%
 
-1.45177173610.2%
 
0.747373104110.2%
 
0.483061820310.2%
 
1.66263794910.2%
 
1.67640125810.2%
 
0.413241535410.2%
 
-0.321933805910.2%
 
-0.0851223319810.2%
 
-0.969064891310.2%
 
1.31899309210.2%
 
0.233477875610.2%
 
1.46743392910.2%
 
1.18403053310.2%
 
0.208914756810.2%
 
-1.30540168310.2%
 
0.808795213710.2%
 
-0.668683588510.2%
 
1.63804984110.2%
 
1.67839705910.2%
 
1.09441423410.2%
 
0.81606763610.2%
 
-1.54010093210.2%
 
-1.52665555510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73028564510.2%
 
-1.71818280210.2%
 
-1.70125186410.2%
 
-1.69672584510.2%
 
-1.69384050410.2%
 
-1.68133604510.2%
 
-1.67658495910.2%
 
-1.67434644710.2%
 
-1.67199134810.2%
 
-1.66530156110.2%
 
ValueCountFrequency (%) 
1.68366038810.2%
 
1.67839705910.2%
 
1.67640125810.2%
 
1.67584824610.2%
 
1.66263794910.2%
 
1.64087474310.2%
 
1.63804984110.2%
 
1.63265764710.2%
 
1.63252019910.2%
 
1.62408864510.2%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.582091838121414e-10
Minimum-1.7324745655059814
Maximum1.7222994565963743
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:41.477654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.732474566
5-th percentile-1.53811695
Q1-0.8375503272
median-0.03282845486
Q30.9078028649
95-th percentile1.538398802
Maximum1.722299457
Range3.454774022
Interquartile range (IQR)1.745353192

Descriptive statistics

Standard deviation0.9999999947
Coefficient of variation (CV)-3872828921
Kurtosis-1.229912862
Mean-2.582091838e-10
Median Absolute Deviation (MAD)0.8867606865
Skewness-0.01475539233
Sum-1.291045919e-07
Variance0.9999999894
2020-08-25T00:09:41.583982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.313998371410.2%
 
1.53971135610.2%
 
0.619448363810.2%
 
-0.221756875510.2%
 
0.488436579710.2%
 
0.946353673910.2%
 
0.616524457910.2%
 
0.211992517110.2%
 
-1.23500478310.2%
 
-0.760082602510.2%
 
-1.60920035810.2%
 
-0.882074177310.2%
 
-0.118814580110.2%
 
-1.48568260710.2%
 
0.588598668610.2%
 
0.207437753710.2%
 
0.369318246810.2%
 
-1.54294395410.2%
 
1.67449176310.2%
 
1.66339755110.2%
 
1.34051406410.2%
 
1.43035924410.2%
 
-0.291673332510.2%
 
1.07353448910.2%
 
-0.373219877510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73247456610.2%
 
-1.73008167710.2%
 
-1.72226858110.2%
 
-1.70297181610.2%
 
-1.69323754310.2%
 
-1.68992948510.2%
 
-1.68302035310.2%
 
-1.68245649310.2%
 
-1.67095279710.2%
 
-1.66137611910.2%
 
ValueCountFrequency (%) 
1.72229945710.2%
 
1.71461558310.2%
 
1.70398378410.2%
 
1.69484329210.2%
 
1.68938994410.2%
 
1.68369770110.2%
 
1.6806629910.2%
 
1.67449176310.2%
 
1.66339755110.2%
 
1.65228247610.2%
 

oz3
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.555369633318377e-10
Minimum-2.1918916702270512
Maximum3.444094181060791
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:41.698908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.19189167
5-th percentile-1.323139971
Q1-0.7127669305
median-0.2343611047
Q30.5948318988
95-th percentile1.921459794
Maximum3.444094181
Range5.635985851
Interquartile range (IQR)1.307598829

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-1046531993
Kurtosis0.3946029985
Mean-9.555369633e-10
Median Absolute Deviation (MAD)0.5717420056
Skewness0.8028475421
Sum-4.777684817e-07
Variance1.000000005
2020-08-25T00:09:41.813080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.483381062710.2%
 
0.735699474810.2%
 
-1.03854417810.2%
 
-0.756181895710.2%
 
-0.788410186810.2%
 
-0.204183295410.2%
 
-1.28386223310.2%
 
0.750036954910.2%
 
-1.11395180210.2%
 
-0.130699291810.2%
 
-0.445481389810.2%
 
0.163414984910.2%
 
0.730810165410.2%
 
-1.69014203510.2%
 
-0.673198461510.2%
 
-0.842146515810.2%
 
-1.27030670610.2%
 
-1.02609205210.2%
 
-0.290217667810.2%
 
0.838248312510.2%
 
-0.80309349310.2%
 
0.282862812310.2%
 
-0.900755405410.2%
 
-0.221046164610.2%
 
-0.482333153510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.1918916710.2%
 
-1.88711464410.2%
 
-1.79323995110.2%
 
-1.78616380710.2%
 
-1.7512060410.2%
 
-1.69014203510.2%
 
-1.66847109810.2%
 
-1.65254962410.2%
 
-1.6514151110.2%
 
-1.62324273610.2%
 
ValueCountFrequency (%) 
3.44409418110.2%
 
3.10923385610.2%
 
3.00636434610.2%
 
2.91711497310.2%
 
2.87925648710.2%
 
2.8675477510.2%
 
2.79679632210.2%
 
2.76632666610.2%
 
2.70731997510.2%
 
2.6252276910.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3336539268493652e-09
Minimum-1.7158116102218628
Maximum1.818564772605896
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:41.924217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.71581161
5-th percentile-1.552451372
Q1-0.8419988006
median0.00925888028
Q30.802981317
95-th percentile1.58896845
Maximum1.818564773
Range3.534376383
Interquartile range (IQR)1.644980118

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)749819708.4
Kurtosis-1.139399734
Mean1.333653927e-09
Median Absolute Deviation (MAD)0.8319422603
Skewness0.05136745309
Sum6.668269634e-07
Variance0.9999999972
2020-08-25T00:09:42.028130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.183593556310.2%
 
-0.229091227110.2%
 
0.738609492810.2%
 
-0.550133705110.2%
 
-1.0143359910.2%
 
-0.434737205510.2%
 
-0.610686719410.2%
 
-1.6334849610.2%
 
1.33075153810.2%
 
-1.27997720210.2%
 
-1.62763261810.2%
 
-1.66474783410.2%
 
0.0646181181110.2%
 
-1.07490980610.2%
 
0.380545198910.2%
 
-1.08073449110.2%
 
-0.771866440810.2%
 
1.54757821610.2%
 
-0.674751281710.2%
 
1.66282105410.2%
 
-0.116255678210.2%
 
0.443050593110.2%
 
-0.986941993210.2%
 
-0.947710812110.2%
 
-0.477233052310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7158116110.2%
 
-1.71541273610.2%
 
-1.71305751810.2%
 
-1.70785355610.2%
 
-1.701888810.2%
 
-1.70176422610.2%
 
-1.70136308710.2%
 
-1.68531680110.2%
 
-1.66474783410.2%
 
-1.66304755210.2%
 
ValueCountFrequency (%) 
1.81856477310.2%
 
1.80378675510.2%
 
1.80194783210.2%
 
1.79926836510.2%
 
1.78651440110.2%
 
1.77294492710.2%
 
1.74783325210.2%
 
1.74397289810.2%
 
1.70624983310.2%
 
1.69886231410.2%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.731118679046631e-10
Minimum-1.6852564811706543
Maximum1.6466172933578491
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:42.302537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.685256481
5-th percentile-1.48900165
Q1-0.9019885957
median-0.01438036328
Q30.8740686029
95-th percentile1.514835072
Maximum1.646617293
Range3.331873775
Interquartile range (IQR)1.776057199

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)2113665004
Kurtosis-1.306549379
Mean4.731118679e-10
Median Absolute Deviation (MAD)0.8885765648
Skewness-0.00893404389
Sum2.36555934e-07
Variance0.9999999962
2020-08-25T00:09:42.406024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.493164956610.2%
 
-0.26824012410.2%
 
0.361491501310.2%
 
-0.792322099210.2%
 
1.48112940810.2%
 
1.34699225410.2%
 
-1.48699641210.2%
 
1.09947884110.2%
 
0.239334464110.2%
 
0.424485921910.2%
 
-1.05400812610.2%
 
-0.717140495810.2%
 
-0.944180846210.2%
 
-1.10030090810.2%
 
0.336110711110.2%
 
-1.62570178510.2%
 
0.40204313410.2%
 
0.714218139610.2%
 
-1.38547015210.2%
 
-0.829455256510.2%
 
0.0256153158810.2%
 
0.399694740810.2%
 
-0.116112321610.2%
 
1.35813951510.2%
 
1.25072085910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68525648110.2%
 
-1.66736495510.2%
 
-1.65338838110.2%
 
-1.63968944510.2%
 
-1.63906943810.2%
 
-1.62919461710.2%
 
-1.6288398510.2%
 
-1.62570178510.2%
 
-1.60984361210.2%
 
-1.60589671110.2%
 
ValueCountFrequency (%) 
1.64661729310.2%
 
1.64280283510.2%
 
1.6339507110.2%
 
1.63001000910.2%
 
1.61977016910.2%
 
1.61297500110.2%
 
1.60715556110.2%
 
1.60518455510.2%
 
1.59268331510.2%
 
1.58090364910.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.686880856752395e-10
Minimum-1.6407047510147097
Maximum1.7454452514648438
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:42.520885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.640704751
5-th percentile-1.465891051
Q1-0.8811481148
median-0.1063127816
Q30.8337162435
95-th percentile1.631722832
Maximum1.745445251
Range3.386150002
Interquartile range (IQR)1.714864358

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-2133615154
Kurtosis-1.205361723
Mean-4.686880857e-10
Median Absolute Deviation (MAD)0.8338492811
Skewness0.1331460247
Sum-2.343440428e-07
Variance1.000000004
2020-08-25T00:09:42.625125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.1093734510.2%
 
0.745460748710.2%
 
1.63161778510.2%
 
1.66666066610.2%
 
1.52017879510.2%
 
0.641430318410.2%
 
-1.42122077910.2%
 
1.37565946610.2%
 
-0.638026535510.2%
 
-0.316572338310.2%
 
1.73504984410.2%
 
0.407883912310.2%
 
0.824559152110.2%
 
-1.21394944210.2%
 
-1.15498232810.2%
 
-0.271169036610.2%
 
0.292899042410.2%
 
0.329274684210.2%
 
1.54366385910.2%
 
-1.17703652410.2%
 
0.572617471210.2%
 
0.630235433610.2%
 
0.0928814262210.2%
 
-1.48170757310.2%
 
-0.105635613210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.64070475110.2%
 
-1.62857627910.2%
 
-1.62580275510.2%
 
-1.62502074210.2%
 
-1.61925375510.2%
 
-1.60704731910.2%
 
-1.5896055710.2%
 
-1.57990610610.2%
 
-1.56781661510.2%
 
-1.56255483610.2%
 
ValueCountFrequency (%) 
1.74544525110.2%
 
1.73641073710.2%
 
1.73504984410.2%
 
1.73407185110.2%
 
1.73122513310.2%
 
1.73015141510.2%
 
1.72990167110.2%
 
1.71507000910.2%
 
1.70340049310.2%
 
1.69866609610.2%
 

oz5
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.207234537365821e-10
Minimum-1.6275016069412231
Maximum4.315086364746094
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:42.738859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.627501607
5-th percentile-1.02879374
Q1-0.6660671681
median-0.3090398163
Q30.4051043987
95-th percentile2.138608694
Maximum4.315086365
Range5.942587972
Interquartile range (IQR)1.071171567

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-4530556153
Kurtosis2.611677146
Mean-2.207234537e-10
Median Absolute Deviation (MAD)0.4694983214
Skewness1.563572851
Sum-1.103617269e-07
Variance1.000000003
2020-08-25T00:09:42.846068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.26152038610.2%
 
0.544278323710.2%
 
-0.714173138110.2%
 
-0.253082960810.2%
 
-0.438599467310.2%
 
-0.65460503110.2%
 
0.115132927910.2%
 
-0.496737629210.2%
 
-0.439783632810.2%
 
0.494786769210.2%
 
-0.0730376392610.2%
 
0.0592450723110.2%
 
4.31508636510.2%
 
-0.606772303610.2%
 
0.355634003910.2%
 
-0.14217348410.2%
 
-0.734737873110.2%
 
1.16864240210.2%
 
-0.530925869910.2%
 
-0.507173538210.2%
 
-0.621434450110.2%
 
-0.414721518810.2%
 
-0.263844072810.2%
 
-1.2612258210.2%
 
-0.96421945110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.62750160710.2%
 
-1.40569889510.2%
 
-1.34361624710.2%
 
-1.30305635910.2%
 
-1.2612258210.2%
 
-1.24829196910.2%
 
-1.24416482410.2%
 
-1.22409331810.2%
 
-1.18712925910.2%
 
-1.16631650910.2%
 
ValueCountFrequency (%) 
4.31508636510.2%
 
4.18840551410.2%
 
3.76163959510.2%
 
3.64655256310.2%
 
3.46038651510.2%
 
3.44032120710.2%
 
3.33381605110.2%
 
3.29933071110.2%
 
3.0463669310.2%
 
3.03411197710.2%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.9203871488571165e-09
Minimum-1.8310972452163696
Maximum1.8150608539581297
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:42.957659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.831097245
5-th percentile-1.591894311
Q1-0.8236174285
median-0.02992609702
Q30.866997838
95-th percentile1.549511236
Maximum1.815060854
Range3.646158099
Interquartile range (IQR)1.690615267

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-520728334.2
Kurtosis-1.086071475
Mean-1.920387149e-09
Median Absolute Deviation (MAD)0.8491338138
Skewness0.02159252313
Sum-9.601935744e-07
Variance1.000000002
2020-08-25T00:09:43.060434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.06249499310.2%
 
-1.83076655910.2%
 
1.80140125810.2%
 
-1.24476540110.2%
 
0.642891168610.2%
 
-0.933202445510.2%
 
0.406563341610.2%
 
-1.56592607510.2%
 
-0.0322354994710.2%
 
-0.677081584910.2%
 
1.41471183310.2%
 
0.166107043610.2%
 
0.16463343810.2%
 
0.606094360410.2%
 
1.23505663910.2%
 
0.144861772710.2%
 
-0.931036472310.2%
 
1.59249615710.2%
 
1.33077895610.2%
 
0.440118759910.2%
 
0.64902502310.2%
 
0.877955734710.2%
 
0.156339824210.2%
 
1.38548684110.2%
 
0.981765866310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.83109724510.2%
 
-1.83076655910.2%
 
-1.8258093610.2%
 
-1.82573652310.2%
 
-1.82367837410.2%
 
-1.8146498210.2%
 
-1.80355048210.2%
 
-1.79819655410.2%
 
-1.78603029310.2%
 
-1.75090992510.2%
 
ValueCountFrequency (%) 
1.81506085410.2%
 
1.80584287610.2%
 
1.80140125810.2%
 
1.79828238510.2%
 
1.78822457810.2%
 
1.78556156210.2%
 
1.78425574310.2%
 
1.75011026910.2%
 
1.74437558710.2%
 
1.73432910410.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.576309144496918e-10
Minimum-1.6975541114807131
Maximum1.7229994535446167
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:43.179106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.697554111
5-th percentile-1.573697978
Q1-0.8924273252
median0.007210292853
Q30.8591168523
95-th percentile1.530540448
Maximum1.722999454
Range3.420553565
Interquartile range (IQR)1.751544178

Descriptive statistics

Standard deviation0.9999999972
Coefficient of variation (CV)-1319903898
Kurtosis-1.177358456
Mean-7.576309144e-10
Median Absolute Deviation (MAD)0.8761012256
Skewness-0.01874653809
Sum-3.788154572e-07
Variance0.9999999944
2020-08-25T00:09:43.283877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0166651103610.2%
 
-0.163410633810.2%
 
-1.54160368410.2%
 
0.555963218210.2%
 
-1.04096484210.2%
 
-1.28966665310.2%
 
-1.55349552610.2%
 
0.847963750410.2%
 
-0.313322156710.2%
 
0.80011594310.2%
 
0.156162589810.2%
 
-0.965345859510.2%
 
-0.824534952610.2%
 
1.33071494110.2%
 
1.24406552310.2%
 
1.13216602810.2%
 
1.39720487610.2%
 
-0.806968390910.2%
 
1.65105068710.2%
 
0.0867504924510.2%
 
-0.537445902810.2%
 
0.398359984210.2%
 
-1.1979448810.2%
 
-0.761084735410.2%
 
-0.829446673410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.69755411110.2%
 
-1.69573509710.2%
 
-1.69393658610.2%
 
-1.68450188610.2%
 
-1.67585885510.2%
 
-1.67205989410.2%
 
-1.66477596810.2%
 
-1.66477382210.2%
 
-1.65672361910.2%
 
-1.65316784410.2%
 
ValueCountFrequency (%) 
1.72299945410.2%
 
1.72171807310.2%
 
1.71316564110.2%
 
1.6991990810.2%
 
1.68926310510.2%
 
1.68759179110.2%
 
1.68730294710.2%
 
1.6763240110.2%
 
1.67574882510.2%
 
1.67436075210.2%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0805088077603387e-09
Minimum-1.622098445892334
Maximum1.8252917528152464
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:43.399758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.622098446
5-th percentile-1.449585718
Q1-0.867092818
median-0.09924603254
Q30.924806267
95-th percentile1.596829969
Maximum1.825291753
Range3.447390199
Interquartile range (IQR)1.791899085

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)925489909.6
Kurtosis-1.210179575
Mean1.080508808e-09
Median Absolute Deviation (MAD)0.8493451774
Skewness0.1529453724
Sum5.402544039e-07
Variance0.9999999977
2020-08-25T00:09:43.504047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.488281220210.2%
 
-1.45964384110.2%
 
0.317823916710.2%
 
1.69480025810.2%
 
-1.13927674310.2%
 
0.216384097910.2%
 
-1.62209844610.2%
 
0.299862831810.2%
 
0.681949734710.2%
 
-0.644845545310.2%
 
1.1158698810.2%
 
-0.44840282210.2%
 
1.46549212910.2%
 
1.36198377610.2%
 
-1.09749424510.2%
 
1.51085507910.2%
 
-1.30573034310.2%
 
1.50750124510.2%
 
1.01825261110.2%
 
-0.245689928510.2%
 
-0.185875937310.2%
 
-1.44013500210.2%
 
1.53193771810.2%
 
-0.622419238110.2%
 
1.73898053210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.62209844610.2%
 
-1.61831128610.2%
 
-1.61553764310.2%
 
-1.61378872410.2%
 
-1.60111963710.2%
 
-1.59736728710.2%
 
-1.59516227210.2%
 
-1.59363198310.2%
 
-1.59178149710.2%
 
-1.58564567610.2%
 
ValueCountFrequency (%) 
1.82529175310.2%
 
1.82041573510.2%
 
1.81630110710.2%
 
1.79791724710.2%
 
1.77468621710.2%
 
1.76753115710.2%
 
1.76395058610.2%
 
1.76079034810.2%
 
1.75526034810.2%
 
1.7522071610.2%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.232891541837262e-10
Minimum-1.8182880878448489
Maximum1.625904202461243
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:43.628495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.818288088
5-th percentile-1.649725497
Q1-0.8951742053
median0.1269684955
Q30.8562080562
95-th percentile1.451179361
Maximum1.625904202
Range3.44419229
Interquartile range (IQR)1.751382262

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)1214640076
Kurtosis-1.153120583
Mean8.232891542e-10
Median Absolute Deviation (MAD)0.8283616081
Skewness-0.1785751508
Sum4.116445771e-07
Variance1.000000002
2020-08-25T00:09:43.735032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.281737834210.2%
 
-0.380063980810.2%
 
0.537228763110.2%
 
0.851904034610.2%
 
-1.41279923910.2%
 
0.663592457810.2%
 
1.15231454410.2%
 
-1.547577510.2%
 
0.311693340510.2%
 
0.0561381131410.2%
 
0.624400317710.2%
 
0.239088013810.2%
 
-0.501334130810.2%
 
-1.01922333210.2%
 
-1.49194645910.2%
 
1.15697574610.2%
 
-0.939824402310.2%
 
0.445494413410.2%
 
-1.30932366810.2%
 
1.53979575610.2%
 
0.995726227810.2%
 
0.136596679710.2%
 
-0.988651871710.2%
 
-1.19996309310.2%
 
-0.424014419310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.81828808810.2%
 
-1.81146073310.2%
 
-1.80196511710.2%
 
-1.79932916210.2%
 
-1.79105794410.2%
 
-1.78596711210.2%
 
-1.7789795410.2%
 
-1.77514994110.2%
 
-1.77333474210.2%
 
-1.76772534810.2%
 
ValueCountFrequency (%) 
1.62590420210.2%
 
1.61845481410.2%
 
1.61704766810.2%
 
1.61399650610.2%
 
1.60274851310.2%
 
1.60038363910.2%
 
1.59823679910.2%
 
1.59264540710.2%
 
1.58690571810.2%
 
1.58516395110.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1248706794096962e-10
Minimum-2.4741535186767583
Maximum3.147656917572021
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:09:43.852049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.474153519
5-th percentile-1.811795539
Q1-0.6408258229
median0.1337512136
Q30.662486881
95-th percentile1.414645362
Maximum3.147656918
Range5.621810436
Interquartile range (IQR)1.303312704

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-4706168768
Kurtosis0.02345081819
Mean-2.124870679e-10
Median Absolute Deviation (MAD)0.6221666932
Skewness-0.2012155035
Sum-1.06243534e-07
Variance1.000000006
2020-08-25T00:09:43.954681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.388183325510.2%
 
1.37824428110.2%
 
-1.11585545510.2%
 
0.838059365710.2%
 
0.948554992710.2%
 
0.612890005110.2%
 
0.69642090810.2%
 
-0.289221942410.2%
 
0.619460940410.2%
 
0.453773558110.2%
 
-1.55533504510.2%
 
-0.867513358610.2%
 
-1.50651335710.2%
 
-0.500328421610.2%
 
1.35417652110.2%
 
0.904940903210.2%
 
0.401061534910.2%
 
-0.289229422810.2%
 
0.72592115410.2%
 
-2.28235721610.2%
 
1.37762641910.2%
 
-0.118694700310.2%
 
1.17646014710.2%
 
-0.184411510810.2%
 
-0.711278319410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.47415351910.2%
 
-2.43649101310.2%
 
-2.28235721610.2%
 
-2.28140330310.2%
 
-2.2563064110.2%
 
-2.23510360710.2%
 
-2.20851373710.2%
 
-2.20591020610.2%
 
-2.19405150410.2%
 
-2.14950108510.2%
 
ValueCountFrequency (%) 
3.14765691810.2%
 
3.09931349810.2%
 
2.71979975710.2%
 
2.60626673710.2%
 
2.51947236110.2%
 
2.38571119310.2%
 
2.28984928110.2%
 
2.14224290810.2%
 
2.05326271110.2%
 
1.93104398310.2%
 

Interactions

2020-08-25T00:08:40.664564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:40.802356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:40.943264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:41.073904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:41.214085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:41.353041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:41.499151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:41.642200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:41.782650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:41.922240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:42.062051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:42.198909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:42.342800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:42.479933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:42.618185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:42.752358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:42.902871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:43.041326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:43.183326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:43.321412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:43.454105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:43.592428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:43.732903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:43.862011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:43.997836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:44.297910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:44.439589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:44.580270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:44.721513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:44.859569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:45.000568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:45.141080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:45.285442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:45.427635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:45.566267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:45.701977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:45.843910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:45.982624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:46.125123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:46.264738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:46.398181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:46.526124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:46.652951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:46.775435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:46.902432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:47.029659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:47.157397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:47.287159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:47.414123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:47.541248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:47.674659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:47.805872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:47.932697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:48.059785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:48.349543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:48.479394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:48.614442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:48.743273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:48.871783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:48.999982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:49.123415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:49.262902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:49.398603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:49.530215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:49.670414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:49.812907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:49.952489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:50.092590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:50.234627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:50.375589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:50.517115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:50.650681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:50.791651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:50.930130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:09:21.153448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:21.291333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:21.428882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:21.553450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:21.687377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:21.819883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:22.119475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:22.254490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:22.388124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:22.522020image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:22.653819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:22.782683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:22.914545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:23.046555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:23.176679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:23.309552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:23.446694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:23.592918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:23.728345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:23.861809image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:23.989021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:24.138014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:24.286033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:24.426939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:24.572909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:24.717551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:24.863083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:25.007679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:25.150329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:25.292386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:25.436564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:25.574098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:25.725107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:25.872605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:26.017954image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:26.324882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:26.481453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:26.625768image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:26.768841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:26.916412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:27.065037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:27.214596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:27.355166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:27.492102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:27.637064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:27.782842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:27.924447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:28.064808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:28.203289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:28.343211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:28.481819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:28.628554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:28.768940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:28.911110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:29.050767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:29.185205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:29.328102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:29.470283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:29.610921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:29.749932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:29.889272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:30.029336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:30.167588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:30.295844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:30.602727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:30.741856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:30.881866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:31.031661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:31.174418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:31.314647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:31.460348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:31.598926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:31.745825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:31.884744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:32.025605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:32.160789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:32.303849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:32.442250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:32.581267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:32.718351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:32.854799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:33.017591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:33.159060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:33.290128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:33.428740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:33.576817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:33.719045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:33.859439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:33.998010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:34.138520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:34.278500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:34.412388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:34.553010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:34.859612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:34.997668image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:35.134728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:35.277154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:35.421173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:35.559283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:35.700564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:35.835682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:35.969640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:36.104311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:36.231088image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:36.365324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:36.500026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:36.636700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:36.769625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:36.901703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:37.037037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:37.170101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:37.295907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:37.426800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:37.564035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:37.698573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:37.825011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:37.960628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:38.092515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:38.229893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:38.364435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:09:44.100471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:09:44.409205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:09:44.711769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:09:45.016654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:09:38.806685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:39.281233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
01.538258-1.6975130.5216311.0418960.770742-1.2650271.4514330.5003011.476678-1.071645-0.7522441.1378070.280237-1.252165-0.410354-1.3474450.9718290.0256230.256399-1.686025
1-0.1878750.4244791.1077271.1416161.441198-0.045980-1.5030291.4323430.4198090.383719-0.7708260.1304850.700302-1.253296-0.527260-0.0763960.2437941.331870-0.944025-0.842826
2-0.9641340.0367660.538631-0.829778-0.151091-0.293203-0.1008960.3079911.093668-0.001121-1.1229810.1969201.517841-1.453392-0.8876250.006871-1.672060-0.7243471.235204-1.159884
31.261383-0.9485850.800236-0.8034321.713173-1.668832-0.1090970.4717510.417756-1.391368-0.6376870.660234-1.312363-0.081646-0.4800761.195532-0.3738160.1751961.329118-1.342460
4-0.0862361.0010842.112895-0.8191311.549321-0.4826331.6893761.7469710.946887-1.0188502.867548-0.924208-0.1214231.6837794.3150860.876708-0.631737-1.1106330.3823152.719800
51.713025-0.196660-1.5467751.5238911.6392291.1505690.901167-0.7153301.3435021.634961-0.048787-1.358954-0.2150371.698666-0.7545230.066038-0.0464531.235593-0.0531270.636009
60.8828451.582304-0.754151-0.666345-0.4076751.134228-1.627182-1.1058650.9822841.388563-0.719024-0.716556-0.876184-1.256285-0.6548370.7387551.6873031.8163010.894087-0.184147
71.564927-1.668200-2.1441300.5849101.7291040.6217590.279936-1.595821-1.6765851.201365-0.600630-0.030442-1.639689-0.218820-0.777384-0.3187210.9168711.3710961.222626-0.815016
8-1.066738-1.152503-0.3209091.6803940.7792470.821540-1.7117740.123867-0.3579361.2886650.0707260.159137-1.069189-0.711538-0.3088671.4851730.546455-0.0821461.0225480.026994
9-0.045643-1.469414-0.8907691.6373841.3165670.977255-0.675214-0.003088-0.244783-0.749090-1.2674400.5155741.507414-1.456388-1.0561851.7501101.3705771.3876300.6648460.709674

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
490-0.215259-1.6185262.086672-0.743025-1.350472-0.8752740.1234491.442805-0.0652071.537496-0.236637-1.367880-1.441397-0.9282340.2145241.0861280.250980-1.5646781.1276430.460852
4910.7542110.715402-1.566962-1.0255721.3980091.304316-1.034178-1.7592691.266113-0.5220150.1402071.7865140.149115-1.438229-0.480350-0.776773-1.0624621.589986-1.567444-1.271174
4920.9703820.3813430.982576-0.611594-1.365550-0.2831651.0532061.206985-0.685075-1.288516-1.4579071.108701-1.054116-1.158427-1.627502-0.548354-1.4295110.7385950.387093-1.470872
4931.4038320.2781350.233677-0.7068611.0968730.046917-0.658585-0.051093-0.1415211.6113620.984191-0.4911720.8396041.0152380.810032-0.547802-0.8544090.330362-0.1653430.913713
494-1.594439-0.929550-0.910362-0.9745030.175395-0.882504-1.415996-0.0645230.241120-0.542971-0.857631-0.644154-1.230797-1.055234-0.8669351.2590881.530472-0.5645540.1177040.443243
495-1.021904-0.3690022.192129-1.1744790.580045-0.3913030.5981631.4781780.9282970.1069310.1164081.240522-0.365992-0.6298500.6707940.2761141.422877-0.938869-0.2150380.696421
496-1.018269-0.888766-0.337028-1.398439-0.090779-1.177866-1.5197000.352205-1.6938411.141706-0.294483-1.2133930.854639-0.296199-0.1629391.4896320.734235-1.455236-1.4919460.455786
497-0.3216721.3359430.1439001.3366651.0364291.483230-1.1979420.2413460.2140121.2095020.2529300.491686-0.8268750.112184-0.0186840.1452991.3219741.5523861.3116850.081451
4981.724658-1.455014-0.910467-0.8656120.979972-0.563159-0.092245-0.1338670.3324200.564856-1.068727-1.300485-0.118213-1.625803-0.9450300.1053191.6510510.713746-1.6663540.182126
4990.2405890.733191-1.0601251.239553-1.3944390.075937-0.957029-0.335254-0.281546-0.8342850.083570-0.369729-1.0003400.406191-0.2652120.002646-1.513709-0.8789610.8594010.698938